Summerschool: Intelligent Motion Planning

We (Haoming and Philipp) are glad to be organizing a seminar on intelligent motion planning for industrial robots. This seminar will be held in week two of the summer school "Robotics for Future Industrial Applications" at the Cybernetics Lab of the RWTH Aachen University (14. august - 18. august). This page will provide you with lecture materials and introductions for the practicals. If you have any further questions, feel free to contact us via email.
Contact details of Haoming and Philipp


Day 1: Introduction
Lecture: Introduction to Industrial Robots and Challenges
Lecture: Motion Planning for Industrial Robots
Lecture: Introduction to Ubuntu and Robot Operating System
Book: Learning ROS for Robotics Programming - Second Edition
Book: Effective Robotics Programming with ROS-3rd Edition
Book: Programming Robots with ROS
Book: Robot Operating System (ROS)-The Complete Reference (Volume 1)
Code: Kinova Control and Description
Code: Kinova Moveit Packages and Python Interface

Day 2: Modelbased Motion Planning
Lecture: Fundamentals of Robot Learning and Control Theory
Video: Self-Learning Robot with Modelbased Reinforcement Learning
Practicals: Programming with Python for Motion Planning
Book: Handbook of Robotics Volume 2


Day 3: Modelbased Reinforcement Learning
Lecture: Modelbased Reinforcement Learning
Practicals: LQR-Backward Pass
Practicals: LQR-Forward Pass
Lecture: Learning Dynamic Models From Data
Practicals: Local and Global Dynamic Models

Day 4: Modelbased Reinforcement Learning Part II
Lecture: Tune Cost Functions
Summary: Intelligent Motion Planning
Video: Human Reinforcement Learning vs Robot Reinforcement Learning